Software Alternatives, Accelerators & Startups
Register | Login

Bigstream VS Concurrent

Compare Bigstream VS Concurrent and see what are their differences

Electe
Discover Electe, our data analytics platform dedicated to SMEs. Don't let your data go unused, take your business into the future! featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Bigstream logo Bigstream

Bigstream provides software and FPGA hyper-acceleration Spark Dataframes/SQL and other big data processing engines.

Concurrent logo Concurrent

Concurrent is a technology solution providing real-time computing solutions for businesses and individuals.
  • Bigstream Landing page
    Landing page //
    2021-10-06
  • Concurrent Landing page
    Landing page //
    2023-07-13

Bigstream features and specs

No features have been listed yet.

Concurrent features and specs

  • Scalable Data Processing
    Concurrent provides tools that enable scalable data processing on distributed systems, which can handle large datasets and complex pipelines efficiently.
  • Open Source Tools
    The company offers open-source tools, such as Cascading, which allows developers to build powerful data applications and workflows without being tied to proprietary solutions.
  • Integration with Hadoop
    Concurrent provides strong integration with Hadoop, allowing users to leverage the vast Hadoop ecosystem for advanced data processing capabilities.
  • Developer Productivity
    By using tools like Cascading, developers can focus more on business logic rather than the intricacies of distributed computing and low-level detail plumbing.
  • Community Support
    Being based on open-source projects, Concurrent benefits from a large community of users and contributors, providing robust support and continuous improvements.

Possible disadvantages of Concurrent

  • Steep Learning Curve
    Tools like Cascading can have a steep learning curve for developers who are not already familiar with Hadoop and the MapReduce paradigm.
  • Dependency on Hadoop
    Strong integration with Hadoop can be a downside for organizations looking to migrate away from Hadoop or use different big data processing frameworks.
  • Performance Overhead
    Abstracting away lower-level details and focusing on developer productivity can sometimes introduce performance overhead compared to writing optimized, low-level code.
  • Complex Setups
    Setting up Cascading and related tooling within an organization's infrastructure might require significant time and effort, especially for teams with less experience in the big data domain.
  • Limited Vendor-Specific Features
    As open-source tools need to remain general and widely applicable, they may lack some of the specific features and optimizations provided by proprietary, vendor-specific solutions suited for particular use cases.

Analysis of Concurrent

Overall verdict

  • Concurrent Inc. is generally considered a good choice for organizations that need scalable and flexible solutions for big data applications. Their tools are highly regarded in the industry, particularly for enterprises that use Hadoop and require dependable data workflow management solutions. However, as with any technology solution, it's essential for organizations to evaluate if Concurrent's offerings align with their specific needs and infrastructure.

Why this product is good

  • Concurrent Inc. provides powerful data application infrastructure tools, particularly for enterprises that are leveraging big data analytics. Their technology is centered around making big data applications easier to manage, deploy, and scale, which can be invaluable for businesses that need robust data processing capabilities. Their flagship product, Cascading, is well-regarded for its ability to simplify the development of complex data workflows, making it a strong choice for companies that require efficient data processing and analytics capabilities.

Recommended for

  • Enterprises utilizing Hadoop-based infrastructures
  • Organizations looking for reliable and scalable data workflow management
  • Developers seeking to simplify complex big data application development
  • Businesses focused on enhancing their data analytics capabilities

Bigstream videos

+ Add

Bigstream at CES

More videos:

  • Review - BigStream Wireless Streaming - w/ Alan Harris - ElderGadget CES 2011

Concurrent videos

+ Add

LOCADTR Concurrent Review Module Walk Through

More videos:

  • Review - Concurrent Review Instructions
  • Review - Documentation Requirements for Claim Submission and Concurrent Review

Category Popularity

0-100% (relative to Bigstream and Concurrent)

Bigstream

Concurrent

Data Dashboard
11 11%
Data Dashboard
89% 89
Database Tools
12 12%
Database Tools
88% 88
Big Data Analytics
7 7%
Big Data Analytics
93% 93
Data Science And Machine Learning
42 42%
Data Science And Machine Learning
58% 58

User comments

Share your experience with using Bigstream and Concurrent. For example, how are they different and which one is better?
Log in or Post with

What are some alternatives?

When comparing Bigstream and Concurrent, you can also consider the following products

OpenText Analytics - OpenText Analytics provides software and services to develop and deploy custom business intelligence and information applications.

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

Rakam - Custom analytics platform

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

SAS In-Memory Analytics - SAS In-Memory Analytics product suite allows companies to quickly process large amounts of data and gain insights.

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

Loading...